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Publications associées (219)

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Bond-order-modulated staggered-flux phase of thetJmodel on a square lattice

Frédéric Mila, Cédric Weber

Motivated by the observation of inhomogeneous patterns in some high-Tc cuprate compounds, several variational Gutzwiller-projected wave functions with built-in charge and bond-order parameters are proposed for the extended t−J−V model on the square lattice ...

2006

WAVE FRONT SENSING METHOD AND APPARATUS

Christian Depeursinge, Tristan Colomb, Etienne Cuche, Frédéric Montfort, Nicolas Aspert, Pierre Marquet, Florian Charrière, Stéphane Bourquin, Mihaela Marian

A new way of mixing instrumental and digital means is described for the general field of wave front sensing. The present invention describes the use, the definition and the utility of digital operators, called digital wave front operators (DWFO) or ... A n ...

2006

Insights into excited-state and isomerization dynamics of bacteriorhodopsin from ultrafast transient UV absorption

Majed Chergui, Frank van Mourik, Selma Schenkl

A visible-pump/UV-probe transient absorption is used to characterize the ultrafast dynamics of bacteriorhodopsin with 80-fs time resoln. We identify three spectral components in the 265- to 310-nm region, related to the all-trans retinal, tryptophan (Trp)- ...

2006

On the Multiterminal Rate-Distortion Function for Acoustic Sensing

Martin Vetterli, Emre Telatar, Robert Konsbruck

We consider the rate-distortion problem for recording a Gaussian acoustic field with an array of sensors equipped with microphones. Our analysis is based on the field's spatiotemporal correlation structure, which is induced by the physics of sound propagat ...

2006

Dephasing representation of quantum fidelity for general pure and mixed states

Jiri Vanicek

A general semiclassical expression for quantum fidelity (Loschmidt echo) of arbitrary pure and mixed states is derived. It expresses fidelity as an interference sum of dephasing trajectories weighed by the Wigner function of the initial state, and does not ...

2006

Locating Mobile Nodes with EASE: Learning Efficient Routes from Encounter Histories Alone

Martin Vetterli, Matthias Grossglauser

Routing in large-scale mobile ad hoc networks is challenging because all the nodes are potentially moving. Geographic routing can partially alleviate this problem, as nodes can make local routing decisions based solely on the destinations' geographic coord ...

2006

Polarization digital holographic microscope: A single acquisition for a complete determination of polarization state

Christian Depeursinge, Tristan Colomb, Etienne Cuche

In this paper, we present a transmission polarization digital holographic microscope (Pol-DHM) that allows for imaging the state of polarization of a wave front with the acquisition of a single hologram. This apparatus records, using a CCD camera, the inte ...

SPIE2006

Submicrometer optical tomography by multiple-wavelength digital holographic microscopy

Christian Depeursinge, Tristan Colomb, Etienne Cuche, Frédéric Montfort, Pierre Marquet, Jonas Kühn, Florian Charrière, Sylvain Herminjard

We present a method for submicrometer tomographic imaging using multiple wavelengths in digital holographic microscopy. This method is based on the recording, at different wavelengths equally separated in the k domain, in off- axis geometry, of the interfe ...

2006

Chauffage de plasma par ondes électromagnétiques à la troisième harmonique de la fréquence cyclotron des électrons dans le tokamak TCV

Gilles Arnoux

The Tokamak à Configuration Variable (TCV) programme is based on flexible plasma shaping capabilities together with a powerful electron cyclotron wave (ECW) additional heating for studies of stability, confinement, transport, control and power exhaust. In ...

EPFL2005

Efficient Kalman Smoothing for Harmonic State-Space Models

Harmonic probabilistic models are common in signal analysis. Framed as a linear-Gaussian state-space model, smoothed inference scales as

O(TH^2)

where

H

is twice the number of frequencies in the model and

T

is the length of the time-series. Due to th ...

IDIAP2005

Efficient Kalman Smoothing for Harmonic State-Space Models

Harmonic probabilistic models are common in signal analysis. Framed as a linear-Gaussian state-space model, smoothed inference scales as

O(TH^2)

where

H

is twice the number of frequencies in the model and

T

is the length of the time-series. Due to th ...

IDIAP2005